These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

214 related articles for article (PubMed ID: 38169047)

  • 21. Predicting EGFR mutation status by a deep learning approach in patients with non-small cell lung cancer brain metastases.
    Haim O; Abramov S; Shofty B; Fanizzi C; DiMeco F; Avisdris N; Ram Z; Artzi M; Grossman R
    J Neurooncol; 2022 Mar; 157(1):63-69. PubMed ID: 35119589
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Habitat radiomics and deep learning fusion nomogram to predict EGFR mutation status in stage I non-small cell lung cancer: a multicenter study.
    Wu J; Meng H; Zhou L; Wang M; Jin S; Ji H; Liu B; Jin P; Du C
    Sci Rep; 2024 Jul; 14(1):15877. PubMed ID: 38982267
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Combined radiomics of primary tumour and bone metastasis improve the prediction of EGFR mutation status and response to EGFR-TKI therapy for NSCLC.
    Cheng Y; Wang H; Yuan W; Wang H; Zhu Y; Chen H; Jiang W
    Phys Med; 2023 Dec; 116():103177. PubMed ID: 38000098
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Radiomics for the prediction of EGFR mutation subtypes in non-small cell lung cancer.
    Li S; Ding C; Zhang H; Song J; Wu L
    Med Phys; 2019 Oct; 46(10):4545-4552. PubMed ID: 31376283
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Peritumoural MRI radiomics signature of brain metastases can predict epidermal growth factor receptor mutation status in lung adenocarcinoma.
    Huang Z; Tu X; Yu T; Zhan Z; Lin Q; Huang X
    Clin Radiol; 2024 Feb; 79(2):e305-e316. PubMed ID: 38000953
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Using contrast-enhanced CT and non-contrast-enhanced CT to predict EGFR mutation status in NSCLC patients-a radiomics nomogram analysis.
    Yang X; Liu M; Ren Y; Chen H; Yu P; Wang S; Zhang R; Dai H; Wang C
    Eur Radiol; 2022 Apr; 32(4):2693-2703. PubMed ID: 34807270
    [TBL] [Abstract][Full Text] [Related]  

  • 27. CT-based nomogram for early identification of T790M resistance in metastatic non-small cell lung cancer before first-line epidermal growth factor receptor-tyrosine kinase inhibitors therapy.
    Li Y; Lv X; Wang Y; Xu Z; Lv Y; Hou D
    Eur Radiol Exp; 2023 Nov; 7(1):64. PubMed ID: 37914925
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Using Radiomics to Differentiate Brain Metastases From Lung Cancer Versus Breast Cancer, Including Predicting Epidermal Growth Factor Receptor and human Epidermal Growth Factor Receptor 2 Status.
    Shi J; Chen H; Wang X; Cao R; Chen Y; Cheng Y; Pang Z; Huang C
    J Comput Assist Tomogr; 2023 Nov-Dec 01; 47(6):924-933. PubMed ID: 37948368
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Improved Prediction of Epidermal Growth Factor Receptor Status by Combined Radiomics of Primary Nonsmall-Cell Lung Cancer and Distant Metastasis.
    Hu Y; Geng Y; Wang H; Chen H; Wang Z; Fu L; Huang B; Jiang W
    J Comput Assist Tomogr; 2024 Sep-Oct 01; 48(5):780-788. PubMed ID: 38498926
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Clinical characteristics and MRI based radiomics nomograms can predict iPFS and short-term efficacy of third-generation EGFR-TKI in EGFR-mutated lung adenocarcinoma with brain metastases.
    Qi H; Hou Y; Zheng Z; Zheng M; Qiao Q; Wang Z; Sun X; Xing L
    BMC Cancer; 2024 Mar; 24(1):362. PubMed ID: 38515096
    [TBL] [Abstract][Full Text] [Related]  

  • 31. CT-based non-invasive identification of the most common gene mutation status in patients with non-small cell lung cancer.
    Chen Z; Gao S; Ding C; Luo T; Xu J; Xu S; Li S
    Med Phys; 2024 Mar; 51(3):1872-1882. PubMed ID: 37706584
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.
    Shiri I; Maleki H; Hajianfar G; Abdollahi H; Ashrafinia S; Hatt M; Zaidi H; Oveisi M; Rahmim A
    Mol Imaging Biol; 2020 Aug; 22(4):1132-1148. PubMed ID: 32185618
    [TBL] [Abstract][Full Text] [Related]  

  • 33. MRI features and whole-lesion apparent diffusion coefficient histogram analysis of brain metastasis from non-small cell lung cancer for differentiating epidermal growth factor receptor mutation status.
    Zheng Y; Huang WJ; Han N; Jiang YL; Ma LY; Zhang J
    Clin Radiol; 2023 Mar; 78(3):e243-e250. PubMed ID: 36577557
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Contrast-enhanced T1-weighted image radiomics of brain metastases may predict EGFR mutation status in primary lung cancer.
    Ahn SJ; Kwon H; Yang JJ; Park M; Cha YJ; Suh SH; Lee JM
    Sci Rep; 2020 Jun; 10(1):8905. PubMed ID: 32483122
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Development and externally validate MRI-based nomogram to assess EGFR and T790M mutations in patients with metastatic lung adenocarcinoma.
    Fan Y; Dong Y; Wang H; Wang H; Sun X; Wang X; Zhao P; Luo Y; Jiang X
    Eur Radiol; 2022 Oct; 32(10):6739-6751. PubMed ID: 35729427
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Deep Learning With an Attention Mechanism for Differentiating the Origin of Brain Metastasis Using MR images.
    Jiao T; Li F; Cui Y; Wang X; Li B; Shi F; Xia Y; Zhou Q; Zeng Q
    J Magn Reson Imaging; 2023 Nov; 58(5):1624-1635. PubMed ID: 36965182
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Radiomics for prediction of response to EGFR-TKI based on metastasis/brain parenchyma (M/BP)-interface.
    Fan Y; Zhao Z; Wang X; Ai H; Yang C; Luo Y; Jiang X
    Radiol Med; 2022 Dec; 127(12):1342-1354. PubMed ID: 36284030
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A radiomics-based deep learning approach to predict progression free-survival after tyrosine kinase inhibitor therapy in non-small cell lung cancer.
    Lu CF; Liao CY; Chao HS; Chiu HY; Wang TW; Lee Y; Chen JR; Shiao TH; Chen YM; Wu YT
    Cancer Imaging; 2023 Jan; 23(1):9. PubMed ID: 36670497
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Multisequence MRI-based radiomics nomogram for early prediction of osimertinib resistance in patients with non-small cell lung cancer brain metastases.
    Lv X; Li Y; Xu X; Zheng Z; Li F; Fang K; Wang Y; Wang B; Hou D
    Eur J Radiol Open; 2023 Dec; 11():100521. PubMed ID: 37692549
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Development and validation of MRI-based radiomics signatures as new markers for preoperative assessment of EGFR mutation and subtypes from bone metastases.
    Fan Y; Dong Y; Sun X; Wang H; Zhao P; Wang H; Jiang X
    BMC Cancer; 2022 Aug; 22(1):889. PubMed ID: 35964032
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.